Farm field monitoring and irrigation automation using IOT

  • Authors

    • M Vinoth
    • G Vithiya
    2018-05-07
    https://doi.org/10.14419/ijet.v7i2.26.12534
  • IOT, Naïve, Sensors, WSN.

  • The Agricultural farming crops are produced in low qualitydue to lack of knowledge of farmers and crops destroyed by insects. To overcome that, many implemented factors are used. The factors can be temperature,soil,humidity,etc.,In biotechnology,some techniques are used withthe help of IoT. It is mainly used to increase the crops productivity in good quality.Existing related research works on sensor cloud have primarily focused on the challenges that wireless sensor network (WSN)-based applications. A direct estimate of water use by subsurface measurements of soil water content has been limited by the high cost of reliable soil moisture sensors. Using some sensors and techniques water can be irrigated automatically.IOT plays a vital role in smart farming.By using set of specified sensors,the irrigation man-agement can be done properly.The sensed data from the sensors and the irrigation controller are interfaced with Wi-Fi connection. In naive Bayes, by using decision making process the farmer can decide when and where to irrigate with the help of mobile application. An algo-rithm was developed with threshold values of temperature and soil moisture that was programmed into a microcontroller-based gateway to control water quantity.

     

     

  • References

    1. [1] A decision support system for managing irrigation in agriculture-H.Navarro-Hellian, J.Martinez-del-Rincon, R.Domingo-Miguel,F.Soto-Valles,R.Torres-Sanchez.

      [2] Wireless Sensor Network Based Automated Irrigation and Crop Field Monitoring System-G.Nisha , J.Megala-Sixth International Conference on Advanced Computing (ICoAC)-2014.

      [3] Agricultural Crop monitoring using IOT- Dr. D.K.Sreekantha, Kavya. A.M- 11th International Conference on Intelligent Systems and Control (ISCO)-2017.

      [4] Analysis of Soil Behaviour and Prediction of Crop Yield using Data Mining Approach-Monali Paul, Santosh K.Vishwakarma, Ashok Verma - International Conference on Computational Intelligence and Communication Networks-2015.

      [5] Applying Data Mining Techniques to Predict Annual Yield of Major Crops and Recommend Planting Different Crops in Different Districts in Bangladesh-A.T.M Shakil Ahamed, Navid Tanzeem Mahmood, Nazmul Hossain, Mohammad Tanzir Kabir, Kallal Das, Faridur Rahman, Rashedur M Rahman-IEEE-2015.

      [6] S.Thilagamani, N. Shanthi,†Object Recognition Based on Image Segmentation and Clusteringâ€, Journal of Computer Science,Vol. 7,No.11,pp. 1741-1748, 2011.

      [7] S.Thilagamani , N. Shanthi,†Gaussian and gabor filter approach for object segmentationâ€, Journal of Computing and Information Science in Engineering,Vol.14,Issue 2, pp. 021006,2014.

      [8] Dr.P.Santhi, S.Kiruthika,†Lung Based Disease prediction Using Lobe Segmentation Based on Neural Networksâ€, International Journal of Pure and Applied Mathematicsâ€, Vol.118, No.8, PP. 499-504, 2018.

      [9] P.Santhi, R.Vikram,†Implementation Of Classification System Using Density Clustering Based Gray Level Co Occurrence Matrix (DGLCM) For Green Bio Technologyâ€, International Journal of Pure and Applied Mathematicsâ€,Vol.118, No.8,PP. 191-195,2018.

      [10] S.Thilagamani, V.Manochitra,â€An Intelligent Region-Based Method for Detecting Objects from Natural Imagesâ€, International Journal of Pure and Applied Mathematicsâ€, Vol.118, No.8, PP.473-478, 2018.

      [11] S. Thilagamani, N.Shanthi, “A Novel Recursive Clustering Algorithm for Image Oversegmentationâ€, European Journal of Scientific Research, Vol.52, No.3, pp.430-436, 2011.

      [12] S.Thilagamani and S. Uma Mageshwari,†Risk appraisal for cardiovascular disease among selected young adult women in Coimbatore, Indiaâ€, Indian Journal of Science and Technology, Vol. 3, No. 6, PP.672-675, 2010.

      [13] Hema.C.R, Paulraj.M.P & Ramkumar.S, “Classification of Eye Movements Using Electrooculography and Neural Networksâ€, International Journal of Human Computer Interaction, Vol.5 (4), pp.51-63, 2014.

      [14] Hema, C. R., Ramkumar, S., & Paulraj, M. P. , “Idendifying Eye Movements using Neural Networks for Human Computer Interactionâ€, International Journal of Computer Applications, 105(8), pp 18-26, 2014.

      [15] S.Ramkumar, K.SatheshKumar, G.Emayavaramban, â€EOG Signal Classification Using Neural Network for Human Computer Interactionâ€, International Journal of Computer Theory and Applications, Vol.9(24) , pp.223-231, 2016

      [16] Ramkumar, Dr.K.Satheshkumar and G.Emayavaramban†Nine States HCI using Electrooculogram and Neural Networksâ€, IJET, Vol. 8(6), pp. 3056-3064, Jan 2017.

      [17] S.Ramkumar, K.Sathesh Kumar G.Emayavaramban,†A Feasibility Study on Eye Movements Using Electrooculogram Based HCI†IEEE- International Conference on Intelligent Sustainable Systems, pp.384-388, Dec-2017.

      [18] G.Emayavaramban, S.Ramkumar, A.Amudha and K.Sathesh Kumar “Classification Of Hand Gestures Using FFNN And TDNN Networksâ€, International Journal of Pure And Applied Mathematics, Vol.118 (8) Pp. 27-32, Jan 2018.

      [19] S.Ramkumar, K.Sathesh Kumar, T.Dhiliphan Rajkumar,M.Ilayaraja, K.Shankar, “A review-classification of electrooculogram based human computer interfacesâ€, Biomedical Research, 29(6), Pp. 1078-1084, April 2018.

      [20] T. Mekala, P. Nandhini,†Modified Agglomerative Clustering for Web Users Navigation Behaviorâ€, International Journal of Advanced Networking and Applications, Vol. 05, Issue: 01, PP.1842-1846, 2013.

      [21] S Saravanan, V Venkatachalam,“Advance Map Reduce Task Scheduling algorithm using mobile cloud multimedia services architecture†IEEE Digital Explore,pp.21-25,2014.

      [22] K.Deepa, Y.Naveen Raj, “Enhancing the Performance in WSN using Distributed Tracking Algorithmâ€, International Journal of Pure and Applied Mathematics Vol. 118, No. 9 2018, 717-722.

      [23] G.Ranjith, M.Vinoth, “A Unified Approach for Effective Use of Cloud Metering Serviceâ€, International Journal of Pure and Applied Mathematics Vol. 118, No. 9 2018, 801-806.

      [24] P. Santhi, S.Thilagamani,†A Survey on Audit Free Cloud Storage via Deniable Attribute Based Encryptionâ€, IRA-International Journal of Technology & Engineering, Vol.5, No.1, PP.1-5, 2016.

      [25] K.Sindhanaiselvan, T.Mekala,†A Survey on Sensor Cloud: Architecture and Applicationsâ€, International Journal of P2P Network Trends and Technology (IJPTT), Vol.6, PP.1-6, 2014.

  • Downloads

  • How to Cite

    Vinoth, M., & Vithiya, G. (2018). Farm field monitoring and irrigation automation using IOT. International Journal of Engineering & Technology, 7(2.26), 53-56. https://doi.org/10.14419/ijet.v7i2.26.12534